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群居蜘蛛的种群统计学与性别比例

DEMOGRAPHY AND SEX RATIO IN SOCIAL SPIDERS.

作者信息

Frank Steven A

机构信息

Department of Biology, University of Michigan, Ann Arbor, MI, 48109-1048.

出版信息

Evolution. 1987 Nov;41(6):1267-1281. doi: 10.1111/j.1558-5646.1987.tb02465.x.

Abstract

Spiders that live in large cooperative societies are scattered among several taxonomic groups. All quasisocial species appear to have female-biased sex ratios, while congeneric species with less advanced forms of sociality have 1:1 sex ratios. I present two sex-ratio models that examine the interaction between the genetic structure of populations and two aspects of colony demography-the changes as the colony grows larger in fecundity per female and in colony survivorship. In the first model, I assume that all members of the population produce the same sex ratio under all conditions (monomorphic strategy), while in the second model I assume that the sex ratio can be adjusted according to stage in the colony growth cycle (conditional strategy). The results of these models are consistent with the typically observed effects of within-sex competition among relatives; the sex ratio is biased toward the sex with less intense competition. In addition to these effects, a number of interesting interactions are revealed among relatedness, demography, and constraints of the sex-determining mechanism (monomorphic vs. conditional strategies). For example, when survivorship or fecundity increases as the colony grows larger, the predicted sex ratio becomes more female-biased. These demographic factors of changing viability and fecundity with changing colony size interact synergistically with relatedness, and the effect of this interaction on the sex ratio depends on the constraints of the sex-determining mechanism. There are two related roles for the models presented here. First, these models provide some general predictions about how complex variables of demography and population structure interact in shaping the evolution of social spider sex ratios. Second, the development of the models illustrates a theoretical method that provides a simple description of complex interactions between demography and population structure, as well as an example of the synergistic interaction between relatedness and cooperation in the context of a particular life history.

摘要

生活在大型合作性群体中的蜘蛛分布在几个分类群中。所有准社会性物种的性别比例似乎都偏向雌性,而社会性程度较低的同属物种的性别比例为1:1。我提出了两个性别比例模型,研究种群的遗传结构与群体人口统计学的两个方面之间的相互作用——随着群体规模扩大,每个雌性的繁殖力和群体存活率的变化。在第一个模型中,我假设种群中的所有成员在所有条件下都产生相同的性别比例(单态策略),而在第二个模型中,我假设性别比例可以根据群体生长周期的阶段进行调整(条件策略)。这些模型的结果与亲属间同性竞争的典型观察结果一致;性别比例偏向竞争不那么激烈的性别。除了这些影响外,还揭示了亲缘关系、人口统计学和性别决定机制的限制(单态与条件策略)之间的一些有趣的相互作用。例如,当群体规模扩大时存活率或繁殖力增加,预测的性别比例会更偏向雌性。这些随着群体规模变化而变化的生存能力和繁殖力的人口统计学因素与亲缘关系协同相互作用,这种相互作用对性别比例的影响取决于性别决定机制的限制。这里提出的模型有两个相关作用。第一,这些模型提供了一些关于人口统计学和种群结构的复杂变量如何相互作用以塑造社会性蜘蛛性别比例进化的一般预测。第二,模型的发展说明了一种理论方法,它提供了对人口统计学和种群结构之间复杂相互作用的简单描述,以及在特定生活史背景下亲缘关系与合作之间协同相互作用的一个例子。

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